User profiles for Kris Boudt
Kris BoudtGhent University, Vrije Universiteit Brussel, Vrije Universiteit Amsterdam Verified email at ugent.be Cited by 3798 |
Differential evolution with DEoptim: an application to non-convex portfolio optimization
The R package DEoptim implements the differential evolution algorithm. This algorithm is an
evolutionary technique similar to genetic algorithms that is useful for the solution of global …
evolutionary technique similar to genetic algorithms that is useful for the solution of global …
Managers set the tone: Equity incentives and the tone of earnings press releases
Earnings press releases, as a timely vehicle for communicating a firm’s performance to third
parties, can be used by managers to influence the perception of the firm’s achievements. …
parties, can be used by managers to influence the perception of the firm’s achievements. …
Climate change concerns and the performance of green versus brown stocks
We empirically test the prediction of Pastor, Stambaugh, and Taylor (2021) that green firms
outperform brown firms when concerns about climate change increase unexpectedly, using …
outperform brown firms when concerns about climate change increase unexpectedly, using …
Robust estimation of intraweek periodicity in volatility and jump detection
Opening, lunch and closing of financial markets induce a periodic component in the volatility
of high-frequency returns. We show that price jumps cause a large bias in the classical …
of high-frequency returns. We show that price jumps cause a large bias in the classical …
Jockeying for position in CEO letters: Impression management and sentiment analytics
K Boudt, J Thewissen - Financial Management, 2019 - Wiley Online Library
This paper evidences the strategic positioning of positive and negative words within a CEO
letter as a subtle form of impression management. We find that managers tend to present …
letter as a subtle form of impression management. We find that managers tend to present …
[HTML][HTML] Forecasting risk with Markov-switching GARCH models: A large-scale performance study
We perform a large-scale empirical study in order to compare the forecasting performances
of single-regime and Markov-switching GARCH ( MSGARCH ) models from a risk …
of single-regime and Markov-switching GARCH ( MSGARCH ) models from a risk …
Climate change concerns and the performance of green vs. brown stocks
We empirically test the prediction of Pástor et al. (2021) that green firms outperform brown
firms when concerns about climate change increase unexpectedly, using data for S&P 500 …
firms when concerns about climate change increase unexpectedly, using data for S&P 500 …
Estimation and decomposition of downside risk for portfolios with non-normal returns
Modied Value at Risk (VaR) is an estimator of VaR based on the Cornish-Fisher expansion.
It is fast to compute and reliable for non-normal returns. In this paper, we introduce modified …
It is fast to compute and reliable for non-normal returns. In this paper, we introduce modified …
Markov-switching GARCH models in R: The MSGARCH package
We describe the package MSGARCH, which implements Markov-switching GARCH models
in R with efficient C++ object-oriented programming. Markov-switching GARCH models …
in R with efficient C++ object-oriented programming. Markov-switching GARCH models …
[PDF][PDF] Package 'performanceanalytics'
BG Peterson, P Carl, K Boudt, R Bennett… - R Team …, 2018 - cran.opencpu.org
… Kris Boudt was instrumental in our research on component risk for portfolios with non-normal
distributions, and is responsible for much of the code for multivariate moments and co-…
distributions, and is responsible for much of the code for multivariate moments and co-…